Enterprise QA Program Manager (W2 Only)

Key Responsibilities

• Serve as primary liaison between Enterprise QA and other technology teams (Operations Tech, Investment Tech, Data Tech, Cloud Infrastructure, and EUC).
• Maintain working relationships with delivery managers and program leads.
• Hold decision authority over sequencing and prioritization across active initiatives (DataGaps onboarding, QA automation, synthetic data service, lower environment build-out, agentic SDLC).
• Weigh delivery team capacity against the Enterprise QA roadmap and escalate to the Head of Enterprise QA if a delivery team's committed timeline is at risk.
• Build project plans for new initiatives from the ground up, identifying risks and dependencies through structured stakeholder discovery.
• Provide day-to-day direction and development support to QA practitioners, positioning them as strategic contributors rather than project executors.
• Lead cross-team alignment on scope, timelines, and dependencies, resolving conflicts before escalation.
• Own translation of the Alternative Approach into delivery-team-facing plans and commitments.
• Own the QA Guild cadence, ensuring its function as a practitioner community rather than a status meeting.

Qualifications

• 10+ years in program or project management, with direct experience in QA transformation, technology delivery, or enterprise software programs.
• A track record of stakeholder alignment across engineering, infrastructure, and operations functions within a matrixed organization.
• Experience building project plans and program structures from a blank state, including stakeholder questioning and risk discovery.
• Strong written and verbal communication skills, with demonstrated concision when addressing senior technology executives.
• Experience leading programs staffed through a federated or guild-based resourcing model, rather than a centralized PMO with direct reporting lines.
• Financial services or other regulated-industry experience preferred.
• Hands-on familiarity with generative AI tools and workflows desirable, with genuine interest in extending that experience into QA and SDLC applications.